Street lamp intelligent energy-saving method based on random forest regression prediction algorithm

Abstract

The invention discloses a street lamp intelligent energy-saving method based on random forest regression prediction algorithm. An intelligent street lamp system obtains original data information, likevisitors flow rate, vehicle flow rate, sound, visible light, infrared rays, latitude and longitude, altitude, etc. Through a large amount of data analysis, the optimum illumination (measured by power) meeting the demand of illumination under the condition can be obtained. The random forest regression prediction algorithm is made, wherein the series of data obtained by the system can be used as independent variable X, the corresponding power values can be set as dependent variable Y, and the random forest training conducts interpretation on Y through X, obtaining the random forest regression prediction model. The model is applied in the intelligent street lamp system, and the street lamp power can be intelligently controlled based on the circumferential environment condition of each streetlamp. The invention is advantageous in that with the advantages of the random forest algorithm, the method not only greatly increases the power prediction accuracy of the system, but also has the energy-saving effect under the condition that illumination is met.

Description

technical field [0001] The invention relates to an energy-saving method for street lamps, in particular to an intelligent power control method for street lamps based on a random forest regression prediction algorithm. Background technique [0002] Urban street lamps are an important aspect of my country's power consumption. With the increasingly tense energy supply, the call for energy saving is getting louder and louder. With the advancement of the "green lighting project", the development trend of lighting design and lighting products in China is facing a "green revolution". It will take saving energy and resources, protecting the earth's ecological environment, improving lighting quality, and improving comfort and health as its development goals. At present, lighting power consumption accounts for about 15% of the country's total power consumption, and many cities have begun to explore energy-saving work for street lamps. [0003] At present, the main energy-saving tech...

AI Technical Summary

Problems solved by technology

However, after 10:00 p.m. in many small and medium-sized cities in our country, and after 12:00 p.m. in large cities, there are almost no vehicles and pedestrians in some non-busy streets. It is obviously unnecessary to maintain high illumination on these roads, especially in residential areas. roads in the community, because the residents in the community have already rested, and there is no need to maintain high illumination

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